CN109799957B - Mechanical hard disk service life early warning method and system based on cloud computing platform - Google Patents
Mechanical hard disk service life early warning method and system based on cloud computing platform Download PDFInfo
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Abstract
The application discloses a mechanical hard disk service life early warning method and system based on a cloud computing platform, wherein the method comprises the following steps: firstly, acquiring actual operation parameters of a user side mechanical hard disk, and uploading the actual operation parameters to a cloud computing platform; then, according to the actual operation parameters and the standard operation parameters of the mechanical hard disk, calculating by using a cloud computing platform to obtain the early warning time of the mechanical hard disk; and finally, sending out early warning to the mechanical hard disk of the user side according to the early warning time. The system in this application mainly includes: the system comprises a mechanical hard disk parameter acquisition module, a cloud computing platform and an early warning module. Through the method and the device, the service life of the mechanical hard disk can be accurately estimated, so that the stability and the safety of data storage are improved.
Description
Technical Field
The application relates to the technical field of data storage, in particular to a mechanical hard disk service life early warning method and system based on a cloud computing platform.
Background
The mechanical hard disk is an important carrier for data storage in the server. The service life of the mechanical hard disk directly influences the stability of data storage in the server. In order to ensure the stability and safety of data storage, the mechanical hard disk needs to be replaced in advance before the mechanical hard disk is damaged, so that the service life of the mechanical hard disk is predicted, and early warning is performed on the mechanical hard disk which can be damaged, which is an important problem in data storage.
At present, the service life of a mechanical hard disk is generally set according to experience, and when the set service life of the mechanical hard disk is reached, a user is reminded to replace the hard disk.
However, in the current method for warning the service life of the mechanical hard disk, the set service life of the mechanical hard disk is not accurate because the service life of the mechanical hard disk is set only according to experience and is not combined with the actual operation condition of the mechanical hard disk, so that the hard disk is replaced prematurely, which causes resource waste, or the hard disk is not replaced timely, which causes data loss. Therefore, the early warning accuracy of the service life of the mechanical hard disk is not high enough at present, so that the stability and the safety of data storage are not high enough.
Disclosure of Invention
The application provides a mechanical hard disk service life early warning method and system based on a cloud computing platform, and aims to solve the problem that the early warning accuracy of the service life of a mechanical hard disk is not high enough in the prior art.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
a mechanical hard disk service life early warning method based on a cloud computing platform comprises the following steps:
acquiring actual operation parameters of a mechanical hard disk of a user side, and uploading the actual operation parameters to a cloud computing platform, wherein the actual operation parameters comprise actual static operation parameters and actual dynamic operation parameters, and the actual dynamic operation parameters are average values in a certain time;
calculating early warning time of the mechanical hard disk by using a cloud computing platform according to actual operation parameters and standard operation parameters of the mechanical hard disk, wherein the standard operation parameters comprise standard static operation parameters and standard dynamic operation parameters, and the standard dynamic operation parameters are average values within a certain time;
and sending out early warning to the user side mechanical hard disk according to the early warning time.
Optionally, the actual static operating parameters and the standard static operating parameters include: capacity and rotating speed of the mechanical hard disk, wherein the actual dynamic operation parameters and the standard dynamic operation parameters comprise: average power consumption at runtime, average read speed, and average write speed.
Optionally, the method for obtaining the early warning time of the mechanical hard disk by using a cloud computing platform according to the actual operating parameters and the standard operating parameters of the mechanical hard disk includes:
according to the actual operation parameters, the standard safe use time and the total loss rate of the mechanical hard disk, a formula is utilized in a cloud computing platform
Calculating to obtain the service life critical point of the mechanical hard disk, wherein HStandard of meritFor standard safe time of use, SGeneral assemblyThe total loss rate;
according to the service life critical point and actual service life of mechanical hard disk of multiple user terminalsCommand, utilizing formula in cloud computing platform
Calculating to obtain the average deviation rate of the service life of the mechanical hard disk, wherein n is the number of a plurality of user terminals counted by the cloud computing platform, HActual nActual lifetime of the nth mechanical hard disk, HCritical nThe life critical point of the nth mechanical hard disk is set;
according to the life critical point and the life average deviation rate of the mechanical hard disk, utilizing a formula HEarly warning＝HCritical point ofAnd N, calculating to obtain the early warning time of the mechanical hard disk.
Optionally, according to the actual operation parameters, the standard safe use time and the total loss rate of the mechanical hard disk, a formula is utilized in the cloud computing platform
The method for calculating the service life critical point of the mechanical hard disk comprises the following steps:
according to the damaged case data of the mechanical hard disk in the cloud computing platform database, acquiring the standard safe use time of the mechanical hard disk by using a statistical method;
calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk;
according to the standard safe use time and the total loss rate of the mechanical hard disk, a formula is utilized
And calculating to obtain the service life critical point of the mechanical hard disk.
A mechanical hard disk life early warning system based on a cloud computing platform, the system comprises:
the system comprises a mechanical hard disk parameter acquisition module, a cloud computing platform and a data processing module, wherein the mechanical hard disk parameter acquisition module is used for acquiring actual operation parameters of a mechanical hard disk of a user side and uploading the actual operation parameters to the cloud computing platform, the actual operation parameters comprise actual static operation parameters and actual dynamic operation parameters, and the actual dynamic operation parameters are average values within a certain time;
the cloud computing platform is used for computing early warning time of the mechanical hard disk according to actual operation parameters and standard operation parameters of the mechanical hard disk, wherein the standard operation parameters comprise standard static operation parameters and standard dynamic operation parameters, and the standard dynamic operation parameters are average values within a certain time;
and the early warning module is used for sending early warning to the user side mechanical hard disk according to the early warning time.
Optionally, the cloud computing platform comprises:
a life critical point calculating module for utilizing a formula according to the actual operation parameters, the standard safe use time and the total loss rate of the mechanical hard disk
Calculating to obtain the service life critical point of the mechanical hard disk, wherein HStandard of meritFor standard safe time of use, SGeneral assemblyThe total loss rate;
the life average deviation rate calculation module is used for utilizing a formula according to the life critical points and the actual life of the mechanical hard disks of the plurality of user terminals
Calculating to obtain the average deviation rate of the service life of the mechanical hard disk, wherein n is the number of a plurality of user terminals counted by the cloud computing platform, HActual nActual lifetime of the nth mechanical hard disk, HCritical nThe life critical point of the nth mechanical hard disk is set;
the early warning time calculation module is used for utilizing a formula H according to the life critical point and the life average deviation rate of the mechanical hard diskEarly warning＝HCritical point ofAnd N, calculating to obtain the early warning time of the mechanical hard disk.
Optionally, the life critical point calculating module includes:
the standard safe use time obtaining unit is used for obtaining the standard safe use time of the mechanical hard disk by utilizing a statistical method according to the damaged case data of the mechanical hard disk in the cloud computing platform database;
the total loss rate calculation unit is used for calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk;
a life critical point calculating unit for utilizing a formula according to the standard safe service time and total loss rate of the mechanical hard disk
And calculating to obtain the service life critical point of the mechanical hard disk.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the application provides a mechanical hard disk service life early warning method based on a cloud computing platform, which comprises the steps of firstly collecting actual operation parameters of a mechanical hard disk of a user side, and uploading the actual operation parameters to the cloud computing platform; then, according to the actual operation parameters and the standard operation parameters of the mechanical hard disk, calculating by using a cloud computing platform to obtain the early warning time of the mechanical hard disk; and finally, sending out early warning to the mechanical hard disk of the user side according to the early warning time. The service life of the mechanical hard disk is estimated by the cloud computing platform to obtain early warning time, and the early warning time can be obtained by the cloud computing platform by referring to parameters of the mechanical hard disks of the plurality of user sides while combining operation parameters of the current mechanical hard disk when the early warning time is calculated.
The application also provides a mechanical hard disk life early warning system based on cloud computing platform, and the system mainly includes: the system comprises a mechanical hard disk parameter acquisition module, a cloud computing platform and an early warning module. The actual operation parameters of the mechanical hard disk to be tested, which are acquired by the mechanical hard disk parameter acquisition module, comprise the actual capacity, the actual rotating speed, the actual average power consumption during operation, the actual average reading speed and the actual average writing speed of the mechanical hard disk, and the acquired actual operation parameters comprise static parameters and dynamic parameters, so that the service life of the mechanical hard disk can be conveniently and more accurately evaluated subsequently. The system utilizes the cloud computing platform to estimate the service life of the mechanical hard disk, and when the early warning time of the mechanical hard disk is computed, the system can utilize a statistical method to refer to the parameters of a plurality of user side mechanical hard disks while combining the current mechanical hard disk operation parameters, so that the obtained early warning time is closer to the actual service life of the mechanical hard disk, the early warning accuracy of the service life of the hard disk is favorably improved, and the stability and the safety of data storage are further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a mechanical hard disk life warning method based on a cloud computing platform according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a mechanical hard disk life warning system based on a cloud computing platform according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For a better understanding of the present application, embodiments of the present application are explained in detail below with reference to the accompanying drawings.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart of a mechanical hard disk life warning method based on a cloud computing platform according to an embodiment of the present disclosure. As shown in fig. 1, the method for warning the service life of the mechanical hard disk based on the cloud computing platform in this embodiment mainly includes the following steps:
s1: the method comprises the steps of collecting actual operation parameters of a user side mechanical hard disk, and uploading the actual operation parameters to a cloud computing platform.
Wherein the actual operating parameters include: the actual static operation parameters and the actual dynamic operation parameters, and the actual dynamic operation parameters are average values in a certain time. The actual static operation parameters of the mechanical hard disk at the user end comprise: the actual capacity and the actual rotating speed of the mechanical hard disk, and the actual dynamic operation parameters comprise: actual average power consumption, actual average read speed, and actual average write speed of the mechanical hard disk during operation.
After collecting the actual operation parameters of the mechanical hard disk at the user end, executing step S2: and calculating the early warning time of the mechanical hard disk by using a cloud computing platform according to the actual operation parameters and the standard operation parameters of the mechanical hard disk.
The standard operation parameters of the mechanical hard disk comprise: the standard static operation parameters and the standard dynamic operation parameters, and the standard dynamic operation parameters are average values in a certain time. The standard static operating parameters include: the standard capacity and standard rotating speed of the mechanical hard disk, and the standard dynamic operation parameters comprise: standard average power consumption, standard average read speed, and standard average write speed for mechanical hard disk operation.
Specifically, step S2 includes the following steps:
s21: according to the actual operation parameters, standard safe use time and total loss rate of the mechanical hard disk, a formula is utilized in the cloud computing platform
Calculating the service life critical point of the mechanical hard disk, wherein HStandard of meritFor standard safe time of use, SGeneral assemblyIs the total loss rate.
Specifically, step S21 includes the following process:
s211: and acquiring the standard safe use time of the mechanical hard disk by using a statistical method according to the damaged case data of the mechanical hard disk in the cloud computing platform database.
The standard safe use time of the mechanical hard disk is set to be 45000 hours initially, and the use time of most mechanical hard disks can be adjusted subsequently according to cloud data statistics.
S212: and calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk.
The formula of the loss rate in this embodiment includes: a capacity loss rate formula, a rotational speed loss rate formula, a read speed loss rate formula, a write speed loss rate formula, a power loss rate formula, and a total loss rate formula.
According to the actual capacity and standard capacity of mechanical hard disk, using capacity loss rate formula
And calculating to obtain the capacity loss rate of the mechanical hard disk under the current actual operation parameters. Wherein S isCapacity ofTo capacity loss rate, CPractice ofTo a real capacity, CStandard of meritFor the standard capacity, the standard capacity is the capacity read by a normal mechanical hard disk under the system, and the standard capacity read by a mechanical hard disk of 1T under the system is about 931G.
According to the actual rotating speed of the mechanical hard disk andstandard rotation speed, using formula of loss rate of rotation speed
And calculating to obtain the rotating speed loss rate of the mechanical hard disk under the current actual operation parameters. Wherein S isRotational speedAs rate of loss of rotation speed, RPractice ofIs the actual rotational speed, RStandard of meritIs a standard rotation speed.
According to the actual average reading speed and the standard average reading speed of the mechanical hard disk, utilizing a reading speed loss rate formula
And calculating to obtain the reading speed loss rate of the mechanical hard disk under the current actual operation parameters. Wherein S isReadingFor read speed loss rate, VActual readingFor actual average read speed, VStandard readingIs the standard average read speed.
According to the actual average writing speed and the standard average writing speed of the mechanical hard disk, utilizing a formula of the loss rate of the writing speed
And calculating to obtain the write speed loss rate of the mechanical hard disk under the current actual operation parameters. Wherein S isWritingFor write speed loss rate, VPractice ofWriting as actual average writing speed, VStandard writingIs the standard average write speed.
According to the actual average power consumption and the standard average power consumption of the mechanical hard disk, a power loss rate formula is utilized
And calculating to obtain the power loss rate of the mechanical hard disk under the current actual operation parameters. Wherein S isPower consumptionTo the power loss rate, PActual power consumptionFor actual average power consumption, PStandard power consumptionIs the standard average power consumption.
Calculating to obtain the capacity loss rate, the rotating speed loss rate and the reading of the mechanical hard diskAfter the speed loss rate, write speed loss rate and power loss rate, the total loss rate formula S is usedGeneral assembly＝1-SCapacity of-SRotational speed-SReading-SWriting-SPower consumptionAnd calculating the total loss rate of the mechanical hard disk under the current actual operation parameters.
According to step S212, after calculating the standard safe use time and the total loss rate of the mechanical hard disk, step S213 is executed: according to the standard safe use time and total loss rate of the mechanical hard disk, a formula is utilized
And calculating to obtain the service life critical point of the mechanical hard disk. Wherein HStandard of meritFor standard safe use time of mechanical hard disks, SGeneral assemblyIs the total loss rate of the mechanical hard disk. When the capacity or power consumption of the mechanical hard disk is abnormal, the capacity loss rate or the power loss rate is higher and exceeds a standard value, so that the total loss rate can be a negative value, and when the total loss rate is a negative value, the absolute value | S of the total loss rate is takenGeneral assemblyAnd | calculating.
S22: according to the service life critical points and the actual service life of the mechanical hard disks of the plurality of user terminals, a formula is utilized in the cloud computing platform
And calculating to obtain the average deviation rate of the service life of the mechanical hard disk.
Wherein n is the number of a plurality of user terminals counted by the cloud computing platform, HActual nActual lifetime of the nth mechanical hard disk, HCritical nIs the life critical point of the nth mechanical hard disk.
According to the embodiment, the cloud computing platform is used for collecting the actual service life time of the mechanical hard disks of the user terminals, and the average value of the actual service life is counted, so that the standard safe service time is continuously adjusted, and the accuracy of the standard safe service time is improved. In addition, the cloud computing platform is used for obtaining service life critical points and actual service life parameters of the mechanical hard disks of the user terminals, and the average deviation rate of the service lives of the mechanical hard disks is calculated by using a statistical method, so that the accuracy of calculation of early warning time is improved, and the reliability and accuracy of early warning of the mechanical hard disks are improved.
After the life critical point and the life average deviation rate of the mechanical hard disk are acquired through the steps S21 and S22, the step S23 is executed: according to the life critical point and life average deviation rate of the mechanical hard disk, using formula HEarly warning＝HCritical point ofAnd N, calculating to obtain the early warning time of the mechanical hard disk.
It should be noted that, in this embodiment, setting of various parameters of the mechanical hard disk may be optimized according to an actual application scenario by combining with a statistical result of the cloud computing platform, so that the early warning time is closer to an actual life of the mechanical hard disk, accuracy and reliability of the early warning are improved, a maximum storage function of the mechanical hard disk is finally exerted, and security of data is improved.
Continuing to refer to fig. 1, after the early warning time is obtained by using the cloud computing platform, step S3 is executed: and sending out early warning to the mechanical hard disk of the user side according to the early warning time.
Example two
Referring to fig. 2 on the basis of the embodiment shown in fig. 1, fig. 2 is a schematic structural diagram of a mechanical hard disk life warning system based on a cloud computing platform according to an embodiment of the present application. As can be seen from fig. 2, the mechanical hard disk life early warning system based on the cloud computing platform in this embodiment mainly includes: the system comprises a mechanical hard disk parameter acquisition module, a cloud computing platform and an early warning module.
The mechanical hard disk parameter acquisition module is used for acquiring actual operation parameters of the mechanical hard disk of the user side and uploading the actual operation parameters to the cloud computing platform. The actual operation parameters comprise actual static operation parameters and actual dynamic operation parameters, and the actual dynamic operation parameters are average values in a certain time. And the cloud computing platform is used for calculating the early warning time of the mechanical hard disk according to the actual operation parameters and the standard operation parameters of the mechanical hard disk. The standard operation parameters comprise standard static operation parameters and standard dynamic operation parameters, and the standard dynamic operation parameters are average values in a certain time. The early warning module is used for sending out early warning to the user side mechanical hard disk according to the early warning time.
Further, the cloud computing platform comprises: the device comprises a life critical point calculating module, a life average deviation rate calculating module and an early warning time calculating module. The service life critical point calculating module is used for utilizing a formula according to the actual operation parameters, the standard safe use time and the total loss rate of the mechanical hard disk
And calculating to obtain the service life critical point of the mechanical hard disk. Wherein HStandard of meritFor standard safe time of use, SGeneral assemblyIs the total loss rate. The life average deviation rate calculation module is used for utilizing a formula according to the life critical points and the actual life of the mechanical hard disks of the plurality of user terminals
And calculating to obtain the average deviation rate of the service life of the mechanical hard disk. Wherein n is the number of a plurality of user terminals counted by the cloud computing platform, HActual nActual lifetime of the nth mechanical hard disk, HCritical nIs the life critical point of the nth mechanical hard disk. The early warning time calculation module is used for utilizing a formula H according to the life critical point and the life average deviation rate of the mechanical hard diskEarly warning＝HCritical point ofAnd N, calculating to obtain the early warning time of the mechanical hard disk.
The life critical point calculation module further includes: the device comprises a standard safe use time acquisition unit, a total loss rate calculation unit and a life critical point calculation unit. The standard safe use time obtaining unit is used for obtaining the standard safe use time of the mechanical hard disk by utilizing a statistical method according to the damaged case data of the mechanical hard disk in the cloud computing platform database. And the total loss rate calculation unit is used for calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk. A life critical point calculating unit for utilizing a formula according to the standard safe use time and total loss rate of the mechanical hard disk
And calculating to obtain the service life critical point of the mechanical hard disk.
In this embodiment, the working method and the working principle of the mechanical hard disk life warning system based on the cloud computing platform have been elaborated in detail in the embodiment shown in fig. 1, and are not described herein again.
In summary, in this embodiment, the parameters of the user side mechanical hard disk, such as capacity, rotation speed, average read speed, average write speed, and power consumption, are collected by the mechanical hard disk parameter collection module; then, the cloud computing platform is used for computing and carrying out statistical analysis on the collected parameters to obtain the early warning time of the mechanical hard disk, and the early warning time is sent to the early warning module; and finally, sending early warning information to the mechanical hard disk with the service life reaching the early warning time to a user side by utilizing the early warning module according to the early warning time of the mechanical hard disk, and reminding the user to maintain and replace the mechanical hard disk in time.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (4)
1. A mechanical hard disk service life early warning method based on a cloud computing platform is characterized by comprising the following steps:
acquiring actual operation parameters of a mechanical hard disk of a user side, and uploading the actual operation parameters to a cloud computing platform, wherein the actual operation parameters comprise actual static operation parameters and actual dynamic operation parameters, and the actual dynamic operation parameters are average values in a certain time;
calculating early warning time of the mechanical hard disk by using a cloud computing platform according to actual operation parameters and standard operation parameters of the mechanical hard disk, wherein the standard operation parameters comprise standard static operation parameters and standard dynamic operation parameters, and the standard dynamic operation parameters are average values within a certain time;
sending out early warning to a mechanical hard disk of a user side according to the early warning time;
wherein the actual static operating parameters and the standard static operating parameters include: capacity and rotating speed of the mechanical hard disk, wherein the actual dynamic operation parameters and the standard dynamic operation parameters comprise: average power consumption, average read speed, and average write speed at runtime;
the method for calculating the early warning time of the mechanical hard disk by using a cloud computing platform according to the actual operation parameters and the standard operation parameters of the mechanical hard disk comprises the following steps:
according to the actual operation parameters, the standard safe use time and the total loss rate of the mechanical hard disk, a formula is utilized in a cloud computing platform
Calculating to obtain the service life critical point of the mechanical hard disk, wherein HStandard of meritFor standard safe time of use, SGeneral assemblyObtaining the total loss rate, acquiring standard safe use time of the mechanical hard disk by using a statistical method according to damaged case data of the mechanical hard disk in a cloud computing platform database, and calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk;
according to the service life critical points and the actual service life of the mechanical hard disks of the plurality of user terminals, a formula is utilized in the cloud computing platform
Calculating to obtain the average deviation rate of the service life of the mechanical hard disk, wherein n is the number of a plurality of user terminals counted by the cloud computing platform, HActual nActual lifetime of the nth mechanical hard disk, HCritical nThe life critical point of the nth mechanical hard disk is set;
according to the aboveThe life critical point and life average deviation rate of the mechanical hard disk are calculated by formula HEarly warning＝HCritical point ofAnd N, calculating to obtain the early warning time of the mechanical hard disk.
2. The mechanical hard disk service life early warning method based on the cloud computing platform as claimed in claim 1, wherein a formula is utilized in the cloud computing platform according to actual operation parameters, standard safe use time and total loss rate of the mechanical hard disk
The method for calculating the service life critical point of the mechanical hard disk comprises the following steps:
according to the damaged case data of the mechanical hard disk in the cloud computing platform database, acquiring the standard safe use time of the mechanical hard disk by using a statistical method;
calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk;
according to the standard safe use time and the total loss rate of the mechanical hard disk, a formula is utilized
And calculating to obtain the service life critical point of the mechanical hard disk.
3. The utility model provides a mechanical hard disk life-span early warning system based on cloud computing platform which characterized in that, the system includes:
the system comprises a mechanical hard disk parameter acquisition module, a cloud computing platform and a data processing module, wherein the mechanical hard disk parameter acquisition module is used for acquiring actual operation parameters of a mechanical hard disk of a user side and uploading the actual operation parameters to the cloud computing platform, the actual operation parameters comprise actual static operation parameters and actual dynamic operation parameters, and the actual dynamic operation parameters are average values within a certain time;
the cloud computing platform is used for computing early warning time of the mechanical hard disk according to actual operation parameters and standard operation parameters of the mechanical hard disk, wherein the standard operation parameters comprise standard static operation parameters and standard dynamic operation parameters, and the standard dynamic operation parameters are average values within a certain time;
the early warning module is used for sending early warning to the user side mechanical hard disk according to the early warning time;
wherein the cloud computing platform comprises:
a life critical point calculating module for utilizing a formula according to the actual operation parameters, the standard safe use time and the total loss rate of the mechanical hard disk
Calculating to obtain the service life critical point of the mechanical hard disk, wherein HStandard of meritFor standard safe time of use, SGeneral assemblyObtaining the total loss rate, acquiring standard safe use time of the mechanical hard disk by using a statistical method according to damaged case data of the mechanical hard disk in a cloud computing platform database, and calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk;
the life average deviation rate calculation module is used for utilizing a formula according to the life critical points and the actual life of the mechanical hard disks of the plurality of user terminals
Calculating to obtain the average deviation rate of the service life of the mechanical hard disk, wherein n is the number of a plurality of user terminals counted by the cloud computing platform, HActual nActual lifetime of the nth mechanical hard disk, HCritical nThe life critical point of the nth mechanical hard disk is set;
the early warning time calculation module is used for utilizing a formula H according to the life critical point and the life average deviation rate of the mechanical hard diskEarly warning＝HCritical point ofAnd N, calculating to obtain the early warning time of the mechanical hard disk.
4. The cloud computing platform-based mechanical hard disk life early warning system according to claim 3, wherein the life critical point calculating module comprises:
the standard safe use time obtaining unit is used for obtaining the standard safe use time of the mechanical hard disk by utilizing a statistical method according to the damaged case data of the mechanical hard disk in the cloud computing platform database;
the total loss rate calculation unit is used for calculating the total loss rate of the mechanical hard disk under the current actual operation parameters by using a loss rate formula according to the actual operation parameters and the standard operation parameters of the mechanical hard disk;
a life critical point calculating unit for utilizing the standard safe service time and total loss rate of the mechanical hard disk
And calculating to obtain the service life critical point of the mechanical hard disk.
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